Fuzzy Logic and Genetic Algorithms for Intelligent Control and Obstacle Avoidance

Fuzzy Logic and Genetic Algorithms for Intelligent Control and Obstacle Avoidance Masoud Mohammadian, Russel J. Stonier
Abstract
	In this paper, fuzzy logic control systems and genetic algorithms are integrated for intelligent control of a mobile robot in the presence of an obstacle. Genetic algorithms are employed as an adaptive method for selection of the fuzzy rules of the system.

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